Compute the following weighted average. You may need to add information to the given table to help you make the correct computations.

Over a given time period, a convenience store had visits from delivery trucks in the following categories with the indicated charge per delivery. What is the average delivery charge the store pays each week?

Category: Deliveries per week: Per Delivery Charge:
Snacks - 3 $25.00
Alcohol - 2 $100.00
Dairy - 4 $75.00

Answer:

-273

Step-by-step explanation:

Remember PEMDAS:

1) (double negative): {-125 + 3}  -->  -122

2) (left to right): -122 - 157 + 6  -->  -279 + 6  -->  -273

To find the mean of the distribution, we simply multiply the probability of getting a son (0.52) by the number of people surveyed (57):

Mean = 0.52 x 57 = 29.64

Rounding to the nearest person, the mean is 30. To find the standard deviation, we can use the formula:
Standard deviation = square root of (p x q x n), Where p is the probability of success (0.52), q is the probability of failure (1 - 0.52 = 0.48), and n is the sample size (57). Standard deviation = square root of (0.52 x 0.48 x 57) = 4.75

Standard deviation (σ) = √(n × p × (1 - p))
σ = √(57 × 0.52 × 0.48)
σ ≈ 3.71 ≈ 4 (rounded to the nearest person)
So, the mean of the distribution is approximately 30 sons, and the standard deviation is approximately 4 sons.

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To use the Chain Rule to find az/as and az/at, we need to first identify the variables involved in the equation. From the given terms, we have.

- a = function of s and t
- z = function of s and t
- s = independent variable
- t = independent variable
- θ = constant
Using the Chain Rule, we can find the partial derivatives of a and z with respect to s and t. The general formula for the Chain Rule is:
∂(a or z)/∂(s or t) = ∂a/∂s * ∂s/∂(s or t) + ∂a/∂t * ∂t/∂(s or t)
Applying this formula to our given equation, we get:
∂a/∂s = 3t^2 cos(θ)
∂a/∂t = s^3 cos(θ)
∂z/∂s = -7s^6 sin(θ)
∂z/∂t = t^3 sin(θ)
Using these partial derivatives, we can now find az/as and az/at as follows:
az/as = ∂a/∂s * ∂z/∂t - ∂z/∂s * ∂a/∂t
     = 3t^2 cos(θ) * t^3 sin(θ) - (-7s^6 sin(θ)) * s^3 cos(θ)
     = t^5 s^3 cos(θ) sin(θ) + 7s^9 cos(θ) sin(θ)
     = (t^5 + 7s^9) cos(θ) sin(θ)
az/at = ∂a/∂t * ∂z/∂s - ∂z/∂t * ∂a/∂s
     = s^3 cos(θ) * (-7s^6 sin(θ)) - t^3 sin(θ) * 3t^2 cos(θ)
     = -7s^9 cos(θ) sin(θ) - 3t^5 cos(θ) sin(θ)
     = -(7s^9 + 3t^5) cos(θ) sin(θ)
Therefore, az/as = (t^5 + 7s^9) cos(θ) sin(θ) and az/at = -(7s^9 + 3t^5) cos(θ) sin(θ).

To find az/as and az/at using the Chain Rule, we can follow these steps:
1. Identify the given equations:
az/as = t^³ cos(θ) cos(θ) - 7s^6 sin(θ) sin(θ)
az/at = 3st^2 (cos(θ) cos(θ)) - s^7 (sin(θ) sin(θ))
2. Apply the Chain Rule to find az/as:
The given equation for az/as is already provided:
az/as = t^³ cos(θ) cos(θ) - 7s^6 sin(θ) sin(θ)
3. Apply the Chain Rule to find az/at:
The given equation for az/at is already provided:
az/at = 3st^2 (cos(θ) cos(θ)) - s^7 (sin(θ) sin(θ))
So, using the Chain Rule, we have found az/as and az/at as follows:
az/as = t^³ cos(θ) cos(θ) - 7s^6 sin(θ) sin(θ)
az/at = 3st^2 (cos(θ) cos(θ)) - s^7 (sin(θ) sin(θ))

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The polynomial function f(x) is factored over the real numbers as:
f(x) = 3x^4 + 2x^3 - 22x^2 - 14x + 7 = (3x + 7)(x + 1)(x - 1/3)(x^2 - 2x - 7)

The Rational Zeros Theorem states that if a polynomial function f(x) has integer coefficients, then any rational zero of f(x) must be of the form p/q, where p is a factor of the constant term and q is a factor of the leading coefficient.

Using this theorem, we can find the possible rational zeros of the given polynomial function:
p = ±1, ±7
q = ±1, ±3

Therefore, the possible rational zeros are:
±1/3, ±1, ±7/3, ±7

We can now test these possible zeros using synthetic division or long division to find the real zeros. After testing these possible zeros, we find that the real zeros of the polynomial function are:
x = -7/3, -1, 1/3

Using these zeros, we can factor the polynomial function f(x) as follows:
f(x) = (3x + 7)(x + 1)(x - 1/3)(x^2 - 2x - 7)

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Since these limits are not equal, lim x→0 f(x) does not exist, and f is therefore discontinuous at 0.

The left-hand limit at a = 0 is lim x→0− f(x) = e0 = 1. The right-hand limit at a = 0 is lim x→0+ f(x) = 02 = 0.

The function is discontinuous at a = 0 because the left-hand and right-hand limits do not match. The left-hand limit approaches 1, while the right-hand limit approaches 0. This means that as x approaches 0 from the left and from the right, the function approaches different values, and therefore there is a "jump" in the graph of the function at x = 0.

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Thus, 9 ft-lb of work is needed to stretch the spring 9 inches beyond its natural length.

To find the work needed to stretch the spring 9 inches beyond its natural length, we will first understand the relationship between the work done and the distance the spring is stretched.

In this case, we are given that the work required to stretch the spring 1 ft (12 inches) beyond its natural length is 12 ft-lb.

This relationship between work and distance can be expressed using Hooke's Law, which states that the force required to stretch a spring is proportional to the distance it is stretched.

Mathematically, we can write Hooke's Law as:

W = k * x,

where W is the work done, k is the spring constant, and x is the distance the spring is stretched.

From the information given, we know that:

12 ft-lb = k * (12 inches).

We can solve for the spring constant k:
k = (12 ft-lb) / (12 inches) = 1 ft-lb/inch.

Now, we need to find the work required to stretch the spring 9 inches beyond its natural length. We can use Hooke's Law again:

W = k * x = (1 ft-lb/inch) * (9 inches).
W = 9 ft-lb.

Therefore, 9 ft-lb of work is needed to stretch the spring 9 inches beyond its natural length.

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The distance from the bottom of the ladder to the side of the house is approximately 6.42 feet.

In this problem, we have a ladder leaning against the side of a house, creating a right triangle. We're given the angle of elevation (66 degrees) and the height of the top of the ladder above the ground (14 ft).

We need to find the distance from the bottom of the ladder to the side of the house, which is the adjacent side of the triangle.

To solve this, we can use the trigonometric function tangent (tan). The tangent of an angle in a right triangle is equal to the ratio of the opposite side to the adjacent side. In this case, the angle is 66 degrees, and the opposite side is 14 ft.

tan(66) = opposite side / adjacent side

tan(66) = 14 ft / adjacent side

To find the adjacent side, we can rearrange the equation:

Adjacent side = 14 ft / tan(66)

Using a calculator, we find:

Adjacent side ≈ 6.42 ft

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The particular solution to the initial value problem is: y = 3e^(3x) + (5 - 2√2)e^(-2x)cos(2x√2) + (2√2 - 7)/2)e^(-2x)sin(2x√2)

To solve the initial value problem d3ydx3−3d2ydx2−9 dydx 27y=0,y(0)=8,dydx(0)=−1,d2ydx2(0)=−8, we first need to find the characteristic equation:

r^3 - 3r^2 - 9r + 27 = 0

Factoring out an r, we get:

r(r^2 - 3r - 9) + 27 = 0

Using the quadratic formula to solve for r^2 - 3r - 9, we get:

r = 3, -2 ± 2i√2

So the general solution to the differential equation is:

y = c1e^(3x) + c2e^(-2x)cos(2x√2) + c3e^(-2x)sin(2x√2)

To solve for the constants c1, c2, and c3, we use the initial conditions:

y(0) = 8

dydx(0) = -1

d2ydx2(0) = -8

Substituting these into the general solution and simplifying, we get:

c1 + c2 = 8

3c1 - 2c2√2 + c3√2 = -1

9c1 + 4c2 - 4c3 = -8

Solving this system of equations, we get:

c1 = 3

c2 = 5 - 2√2

c3 = (2√2 - 7)/2

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It will cost $396 to place fencing around the garden.

You have a rectangular garden that is 13 feet long and 20 feet wide. To find the cost of placing fencing around the garden, we first need to determine the total length of fencing required.

For a rectangle, the perimeter (P) can be found using the formula P = 2(L + W), where L is the length and W is the width. In this case, L = 13 feet and W = 20 feet. Plugging these values into the formula, we get:

P = 2(13 + 20) = 2(33) = 66 feet

Now that we know the perimeter, we can calculate the total cost of the fencing. Since the fencing costs $6 per foot, we simply multiply the total length of fencing needed (66 feet) by the cost per foot:

Total cost = 66 feet * $6/foot = $396

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To calculate the z-score for someone with an IQ of 96 in Group A, we first need to find the deviation of this IQ score from the average IQ of the group, Deviation = 96 - 120 = -24 .

Next, we need to standardize this deviation by dividing it by the standard deviation of the group: z-score = (-24) / 15 = -1.6

Therefore, the z-score for someone with an IQ of 96 in Group A is -1.6. This tells us that this IQ score is 1.6 standard deviations below the average IQ of the group.

To calculate the z-score for someone with an IQ of 96 in Group A, you will need to use the average IQ and standard deviation you've provided. The formula for the z-score is: Z-score = (Individual IQ - Average IQ) / Standard Deviation

In this case: Z-score = (96 - 120) / 15, Z-score = -24 / 15, Z-score = -1.6
The z-score for someone with an IQ of 96 in Group A is -1.6.

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The value of x in the circle is 39.

The arc of a circle is the part of the circumference of a circle. If the length of an arc is half of the circle, it is called semicircular arc.

The angle subtended by an arc is the measure of the arc. Thus, we can say:

(3x + 5)° = 122°

3x + 5 = 122

3x = 122 - 5

3x = 117

x = 117/3

x = 39

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This polynomial has three terms and the highest power of x is 2, so it is a trinomial of degree 2, also known as a quadratic polynomial.

13x² - 4x² = 9x²

So the polynomial becomes:

6 - 12x + 9x²

A polynomial is a mathematical expression consisting of variables and coefficients, which are combined using arithmetic operations like addition, subtraction, multiplication, and non-negative integer exponents. The term "poly" means "many" and "nomial" means "term" or "monomial," which gives us the idea that a polynomial consists of many terms.

For example, the polynomial 3x² + 4x - 5 has three terms: 3x, 4x, and -5. The variable x is raised to different powers in each term, and each term is multiplied by a coefficient (3, 4, and -5 in this case). Polynomials can be used to model a wide range of phenomena, from physics to economics. They are used in calculus to represent curves and surfaces, and in algebra to solve equations.

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The statistical decision based on the reported results of the hypothesis test is that the null hypothesis was rejected at the α = .05 significance level.

The t-value reported is 2.38, and the degrees of freedom are 21. This suggests that the test was likely a t-test with an independent samples design, where the sample size was n = 22 (since df = n - 1).

The p-value reported is less than .05, which indicates that the probability of obtaining the observed results, or results more extreme, under the assumption that the null hypothesis is true, is less than .05. Therefore, the null hypothesis is rejected at the .05 significance level in favor of the alternative hypothesis.

In conclusion, the statistical decision is that there is sufficient evidence to suggest that the population means are not equal, and the sample size was 22. However, we do not have information about the direction of the effect (i.e., whether the difference was positive or negative).

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The minimum surface area of the container is approximately 275.52 cm².

Let's suppose that the length, width, and height of the rectangular container are l, w, and h, respectively. We know that the container has a square base, so l = w. Also, we know that the volume of the container is 864 cm³, so we have:

l × w × h = 864

Since l = w, we can write this as:

l² × h = 864

We want to minimize the surface area of the container, which consists of the area of the base (l²) and the area of the four sides (2lh + 2wh). We can express the surface area in terms of l and h:

Surface Area = l² + 2lh + 2wh

Using the equation l² × h = 864, we can solve for h in terms of l:

h = 864 / (l²)

Substituting this into the equation for the surface area, we get:

Surface Area = l² + 2l(864 / l²) + 2w(864 / (lw))

Simplifying and using l = w, we get:

Surface Area = 2l² + 1728/l

To find the minimum surface area, we can take the derivative of this expression with respect to l, set it equal to zero, and solve for l:

d/dl (2l² + 1728/l) = 4l - 1728/l² = 0

4l = 1728/l²

l³ = 432

l = ∛432 ≈ 8.77 cm

Since the container has a square base, the length and width are both 8.77 cm. Using the equation l² × h = 864, we can solve for h:

h = 864 / (8.77)² ≈ 10.85 cm

Therefore, the minimum surface area of the container is:

Surface Area = 2(8.77)² + 2(8.77)(10.85) ≈ 275.52 cm²

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There are 2475 ways to place 10 identical red balls and 10 identical blue balls into 4 distinct urns, given the condition for the first urn.

We want to place 10 identical red balls and 10 identical blue balls into 4 distinct urns with the condition that the first urn has at least 1 red ball and at least 2 blue balls.

Step 1: Place the minimum number of balls in the first urn.
Let's place 1 red ball and 2 blue balls in the first urn. Now we have 9 red balls and 8 blue balls left to distribute.

Step 2: Use the stars and bars method to distribute the remaining balls.
For the remaining 9 red balls, we will use the stars and bars method. There are 3 urns left to place the balls, so we will have 2 "bars" to divide them. In total, we have 9 stars (red balls) and 2 bars, so there are C(11, 2) ways to distribute the red balls, where C(n, k) represents combinations.

If the first urn has no red balls, then we need to place all 10 red balls into the other 3 urns, and the blue balls can go into any of the 4 urns. There are 3^10 ways to place the red balls and 4^10 ways to place the blue balls, so there are 3^10 * 4^10 ways to violate the condition in this way.

If the first urn has exactly 1 red ball and fewer than 2 blue balls, then we need to place the other 9 red balls and the remaining blue balls into the other 3 urns. There are 3^9 ways to place the red balls, and (4 choose 2) * 3^8 ways to place the blue balls (since we need to choose 2 of the remaining 3 urns to put the blue balls in). So there are 3^9 * (4 choose 2) * 3^8 ways to violate the condition in this way.

For the 8 blue balls, we also use the stars and bars method. Again, there are 3 urns left, so we will have 2 "bars" to divide them. We have 8 stars (blue balls) and 2 bars, so there are C(10, 2) ways to distribute the blue balls.

Step 3: Calculate the total ways to distribute the balls.
Since the ways to distribute red balls and blue balls are independent, we multiply the number of ways to distribute the red balls by the number of ways to distribute the blue balls.
Using the principle of inclusion-exclusion, the total number of ways to place the balls into the urns that satisfy the condition is:

4^20 - 3^10 * 4^10 - 3^9 * (4 choose 2) * 3^8

= 2,922,821,387,520 - 3,486,784,401,920 - 312,491,796,480

= 123,544,189,120
Total ways = C(11, 2) * C(10, 2) = 55 * 45 = 2475

So, there are 2475 ways to place 10 identical red balls and 10 identical blue balls into 4 distinct urns, given the condition for the first urn.

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To solve this problem, we need to use the same process described in the question. We start by placing three different one-digit positive integers in the bottom row of cells. Let's call these integers A, B, and C.

We add the numbers in adjacent cells to get the sums and place them in the cell above them. In the first row, we get A+B, B+C, and C+A.

We continue the same process in the second row by adding the numbers in adjacent cells in the first row. We get (A+B)+(B+C), (B+C)+(C+A), and (C+A)+(A+B).

Simplifying these expressions, we get 2A+2B+2C, 2A+2B+2C, and 2A+2B+2C.

So the top cell will always have the same value of 2A+2B+2C, regardless of the values of A, B, and C.

To find the largest and smallest possible values of the top cell, we need to consider the largest and smallest possible values of A, B, and C.

The smallest possible value for A, B, and C is 1, so the smallest possible value for the top cell is 2(1+1+1) = 6.

The largest possible value for A, B, and C is 9, so the largest possible value for the top cell is 2(9+9+9) = 54.

Therefore, the difference between the largest and smallest numbers possible in the top cell is 54-6 = 48.

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The probability that you are caught in the rain without an umbrella is 2/9, or approximately 0.222.

Let's define the following events:

From the problem statement, we know that:

- P(R) = 1/3 (it rains one out of three days)

- P(~R) = 2/3

- P(F|R) = 2/3 (the forecast is correct two thirds of the time when it rains)

- P(~F|~R) = 2/3 (the forecast is correct two thirds of the time when it doesn't rain)

- P(F|~R) = 1/3 (the forecast is incorrect one third of the time when it doesn't rain)

- P(U|F) = 1 (you always take an umbrella if rain is forecasted)

- P(~U|~F) = 1 (you always don't take an umbrella if rain is not forecasted)

We want to find P(R, ~U), which means the probability that it rains and you don't take an umbrella. We can use the law of total probability and the Bayes' theorem to calculate it:

[tex]P(R, ~U) = P(R, ~U, F) + P(R, ~U, ~F)[/tex]

  = P(F|R)P(R, ~U|F) + P(~F|R)P(R, ~U|~F)  (using the law of total probability)

  = P(F|R)P(~U|F)P(R|F) + P(~F|R)P(~U|~F)P(R|~F)  (using Bayes' theorem)

  = (2/3)(0)(1/3) + (1/3)(1)(2/3)  (substituting the given probabilities)

   = 2/9

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The upper limit for an 89% confidence interval for the average profit per unit is $6.58.

To find the upper limit for an 89% confidence interval for the average profit per unit, you can use the following formula:

Upper limit = sample mean + (critical value x standard error)

The critical value can be found using a t-distribution table with n-1 degrees of freedom and a confidence level of 89%. Since you have 1000 simulation trials, your degrees of freedom will be 1000-1 = 999.

Using the t-distribution table or a calculator, the critical value for an 89% confidence level with 999 degrees of freedom is approximately 1.645.

The standard error can be calculated as the sample standard deviation divided by the square root of the sample size. So:

standard error = sample standard deviation / sqrt(sample size)

standard error = 1.91 / sqrt(1000)

standard error = 0.060

Plugging in the values we have:

Upper limit = 6.48 + (1.645 x 0.060)

Upper limit = 6.5787

Therefore, the upper limit for an 89% confidence interval for the average profit per unit is $6.58.

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To answer the question of how much a 3-week vacation in Canada is worth, we would need to base our answer on the medium of exchange function of money.

This function refers to money's ability to be exchanged for goods and services, and it is the most commonly used function of money in everyday transactions.

When planning a vacation, we need to consider the various expenses that we will incur, including transportation, accommodation, food, entertainment, and activities. These expenses can be paid for using money, which serves as a medium of exchange.

To determine the cost of a 3-week vacation in Canada, we would need to calculate the total amount of money required to cover all these expenses. We would need to research the prices of flights or other forms of transportation, hotel or rental accommodations, restaurants and food costs, and any admission fees for tourist attractions or activities.

The total amount spent during the 3-week vacation would represent the value of the vacation in terms of the medium of exchange function of money. Therefore, we would base our answer on this function of money when asked about the cost of a 3-week vacation in Canada.

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For considering a model for a garden ornament is formed from two shapes, a cube and a square pyramid, the volume of model is equals to 175 in³.

Volume is the space occupied within the boundaries of an shape in three-dimensional space. It is also known as the capacity of the object. We have a model for garden ornament formed from two shapes named cube and square pyramid. This model is filled with concrete. We have to determine the volume of the model. From the above figure, base side of cube, b = 5 in.

Height of pyramid, h = 6 in

As we know volume of a big box made from small boxes is equals to sum of volume of small boxes. Similarly, volume of model is equals to the sum of volume of cube and volume of square pyramid.

So, volume of cube, V = (side)³

= 5³ = 125 in³

Volume of square pyramid, [tex]V' = \frac{1}{3}b²h[/tex]

where b --> base of pyramid

h --> height of pyramid

[tex]V' = (\frac{1}{3})5²× 6[/tex]

= 50 in³

Therefore, volume of model = V + V'

= 125 in³ + 50 in³

= 175 in³

Hence, required value is 175 in³.

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Complete question:

The above figure complete the question.

A model for a garden ornament is made up of two shapes, a cube and a square pyramid. To make an ornament, the model is filled with concrete. What is the volume of the model?

The probability that X is equal to 3.94 is approximately 0.0286.

Since X follows a chi-square distribution with 10 degrees of freedom, its probability density function (pdf) is given by:

[tex]f(x) = (1/2^(10/2) * Gamma(10/2)) * x^(10/2 - 1) * e^(-x/2)[/tex]

where Gamma() is the gamma function.

To find the probability that X is equal to 3.94, we need to evaluate the pdf at that value, i.e., we need to find f(3.94). Plugging in the values, we get:

[tex]f(3.94) = (1/2^(10/2) * Gamma(10/2)) * (3.94)^(10/2 - 1) * e^(-3.94/2)[/tex]≈ 0.0286

So the probability that X is equal to 3.94 is approximately 0.0286. Note that since X is a continuous random variable, the probability of it taking any particular value is zero. However, we can still talk about the probability of X being within a certain range or interval.

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These box plots allow us to compare the distribution of distances achieved in the men's long jump at the U.S. qualifying meet and the Olympic games, and to see how they differ in terms of range, IQR, median, and distribution.

We have,

From these box plots,

We can gather the following pieces of information:

- The range of distances achieved in the men's long jump at both the U.S. qualifying meet and the Olympic games.

For the U.S. qualifier, the range is from approximately 7.68 meters to 7.99 meters.

For the Olympics, the range is from approximately 7.7 meters to 8.31 meters.

- The interquartile range (IQR) of distances achieved in the men's long jump at both the U.S. qualifying meet and the Olympic games.

For the U.S. qualifier, the IQR is from approximately 7.7 meters to 7.89 meters.

For the Olympics, the IQR is from approximately 7.83 meters to 8.12 meters.

- The median distance achieved in the men's long jump at both the U.S. qualifying meet and the Olympic games.

For the U.S. qualifier, the median is approximately 7.74 meters.

For the Olympics, the median is approximately 8.04 meters.

- The distribution of distances achieved in the men's long jump at both the U.S. qualifying meet and the Olympic games.

For the U.S. qualifier, the distances achieved are relatively tightly clustered around the median, with a few outliers on both ends.

For the Olympics, the distances achieved are more spread out, with a few outliers on the high end.

Thus,

These box plots allow us to compare the distribution of distances achieved in the men's long jump at the U.S. qualifying meet and the Olympic games, and to see how they differ in terms of range, IQR, median, and distribution.

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Answer: A

Step-by-step explanation: Khan

The interior angles are:

180 - 20= 160

180 - 30= 150

180 - 30 = 150

180-40= 140

180 - 40= 140

180 - 65= 115

180-55 = 125

180 - 22 = 158

180-5.8= 122

We have,

The sum of the external angles at the four vertices of a convex 9-gon is 120° and their ratio is 2:3:3:4.

2x + 3x + 3x + 4x = 120

12x = 120

x= 10

4x + 6.5x + 5.5x + 2.2x + 5.8x + 120 = 360

24x = 240

x = 10

The interior angles are

180 - 20= 160

180 - 30= 150

180 - 30 = 150

180-40= 140

180 - 40= 140

180 - 65= 115

180-55 = 125

180 - 22 = 158

180-5.8= 122

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So, the statement "In a dataset that is normally distributed, the mean is always equal to the standard deviation" is false.

In a dataset that is normally distributed, the mean and the standard deviation are two different measures that describe different aspects of the data.

The mean is the arithmetic average of the dataset and represents the center of the distribution. It is calculated by adding up all the values in the dataset and dividing by the number of values.

The standard deviation, on the other hand, measures the spread or variability of the data around the mean.

It is calculated by taking the square root of the average of the squared differences between each value and the mean.

While the mean and the standard deviation can take on the same value in some cases, such as in a normal distribution with a standard deviation of 1, this is not always the case.

Therefore, in a normally distributed dataset, the mean and the standard deviation are two separate measures of the data.

So statement is false. In fact, it is more common for the mean and standard deviation to be different values in a normally distributed dataset.

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The value of the variable in the given inequality is given by x ≤ 13  and x ≥ 8.

The inequalities are,

5 ≥ ( x + 2 ) / 3

Multiply both the side of inequalities by 3 we get,

⇒ 5 × 3 ≥ [( x + 2 ) / 3 ] ×  3

⇒ 15 ≥ ( x + 2 )

Subtract 2 from both the sides of inequalities we get,

⇒ 15 - 2 ≥ ( x + 2 - 2 )

⇒ x ≤ 13

For the inequality ,

( 4 + x ) / 6 ≥ 2

Multiply both the side of inequalities by 6 we get,

⇒ 2 × 6 ≤  [( x + 4 ) / 6 ] ×  6

⇒ 12 ≤ ( x + 4 )

Subtract 4 from both the sides of inequalities we get,

⇒ 12 - 4 ≤  ( x + 4 - 4 )

⇒ x ≥ 8

Therefore , the solution of the inequality is equal to x ≤ 13  and x ≥ 8.

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The probability that a car that is inspected will need the repair and the repair will cost more than $100 is 8%.

The probability that a car that is inspected will need the repair is 0.20 (given in the problem). The probability that the repair will cost more than $100 is 0.40 (also given in the problem). To find the probability that both events occur (i.e. the car needs the repair AND the repair costs more than $100), we multiply the probabilities together: 0.20 x 0.40 = 0.08 or 8%. To find the probability that a car inspected will need a pollution control system repair and that the repair will cost more than $100, you need to multiply the individual probabilities together.
Probability of needing a repair: 20% (0.20)
Probability of repair costing more than $100 (given it needs a repair): 40% (0.40)
So, the probability of both events occurring is: 0.20 × 0.40 = 0.08 or 8%.

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The  function g such that (gºf)(x) = cos(x²) is g(y) = cos(y^2), where y = (1 + 7x)/(3x - 5).

(a) To find the inverse function of f(x), we need to solve for x in terms of f(x). Let y = f(x), then we have:

y = (1 + 7x)/(3x - 5)

Multiplying both sides by (3x - 5), we get:

y(3x - 5) = 1 + 7x

Expanding and rearranging, we get:

(3y - 7)x = y + 5

Dividing both sides by (3y - 7), we get:

x = (y + 5)/(3y - 7)

Therefore, the inverse function of f(x) is:

f^-1(x) = (x + 5)/(3x - 7)

(b) The function f(x) is defined for all x except x = 5/3, because the denominator 3x - 5 becomes zero at x = 5/3. Therefore, the largest possible domain of f(x) is (-∞, 5/3) U (5/3, ∞).

To find the range of f(x), we can use calculus. Taking the derivative of f(x), we get:

f'(x) = (16 - 21x)/(3x - 5)^2

The derivative is zero when 16 - 21x = 0, or x = 16/21. This is a local maximum of f(x), because f''(x) = 126/(3x - 5)^3 is positive when x < 5/3 and negative when x > 5/3. Therefore, the maximum value of f(x) is:

f(16/21) = (1 + 7(16/21))/(3(16/21) - 5) = 11/2

Since f(x) approaches positive infinity as x approaches 5/3 from the left and negative infinity as x approaches 5/3 from the right, the range of f(x) is (-∞, 11/2) U (11/2, ∞).

(c) Let g(y) = cos(y^2). Then, we have:

(gºf)(x) = g(f(x)) = g((1 + 7x)/(3x - 5)) = cos(((1 + 7x)/(3x - 5))^2)

Therefore, the function g such that (gºf)(x) = cos(x²) is g(y) = cos(y^2), where y = (1 + 7x)/(3x - 5).

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In order to determine if there is inconsistency, the data collected from the three instructors would need to be compared and analyzed. Without further information or analysis, it is difficult to determine if there is inconsistency in the grading.

To answer your question, we first need to analyze the data provided for the grade distribution of the three instructors. Unfortunately, you haven't provided any data in your question. However, I can guide you through the process of assessing consistency using the given terms: conducted, assess, and consistency.

Step 1: The university conducted a study on the grade distribution of a multi-section basic statistics course taught by three instructors.

Step 2: To assess consistency in grading, we need to compare the grade distributions of the three instructors. You can use a variety of statistical methods to make this comparison, such as descriptive statistics (e.g., mean, median, and standard deviation), visual representations (e.g., boxplots or histograms), or inferential statistics (e.g., ANOVA or chi-square tests).

Step 3: After analyzing the data, you can determine whether there is any inconsistency in grading among the three instructors. If the grade distributions are similar, it suggests consistency in grading. However, if the distributions differ significantly, it may indicate grading inconsistency.

Remember, to provide a specific answer, we would need the actual data on grade distribution for the three instructors. Once you have that data, you can follow the steps mentioned above to assess the consistency of grading in the course.

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